Welcome !

 
Principal Investigator
 
Dr. Dougu Nam 남덕우
Assistant Professor
School of Nano-Bioscience and Chemical Engineering
& Graduate School of Natural Science (Applied Mathematics),
UNIST (Ulsan National Institute of Science and Technology)
T. +82-52-217-2525
 
Education
'96    Seoul National University, Math. Edu. B.S.
'98    KAIST, Applied Math (Probability), M.S.
'02. 8 KAIST, Applied Math (Probability), Ph.D.
 
Research Experience
Senior Researcher, Korea Research Institute of Bioscience and Biotechnology
Senior Researcher (Principal Investigator), National Institute for Mathematical Sciences
 
 
Research Interests
 
(1) Developing mathematical/statistical models, algorithms and software for analyzing high-throughput genome data
(2) Identifying molecular markers and their functional networks that are associated with disease
 
To this aim, we analyze microarrays (gene expression, SNP, miRNA, and methylation) and other omics data in an integrative manner. In particular, we develop and make use of gene set analysis methods to identify robust pathway-based signatures and regulatory networks, develop robust clustering algorithms to classify subtypes of disease and reverse-engineer the intracellular networks of RNAs and proteins. Machine learning algorithms such as hidden Markov model and support vector machine for sequence classification are also of our interest.
 
 
Members
Graduate students
Sora Yoon, 
Hyung Goo Kang
Jin-Hwan Kim
 
 
 
Open Positions !!
 
Graduate students
Multiple positions are open to whom with a background of mathematics/statistics, computer science, or biology.
Students with (1) an aspiration to solve important scientific problems to contribute to human health and (2) good programming skills in Java/C(++), R/MATLAB, or Python/Perl are particularly solicited.
 
Researchers
Currently, not available
 
Please, contact me at dougnam@unist.ac.kr .
 
 
Academic Service
Review Editorial Board for <<Frontiers in Systems Biology>>
 Associate Editor for <<BMC Research Notes>>
 
Publications
 
Bioinformatics
 

    1. Sung-Ho Goh, Tae-Hyung Kim, Jee-Hyub Kim, Dougu Nam, Doil Choi, and Cheol-Goo Hur*, Computational Analysis of Neighboring Genes on Arabidopsis thaliana Chromosomes 4 and 5: Their Genomic Association as Functional Subunits, Genomics and Informatics, 1, no. 1, 40-49 (2003).

    2. Dougu Nam*, Seunghyun Seo and Sangsoo Kim, An efficient top-down search algorithm for learning Boolean networks of gene expression, Machine Learning 65, 229-245 (2006).
    3. Dougu Nam, Sang-Bae Kim, Sun-Kyu Kim, Sungjin Yang, Seon-Young Kim and In-Sun Chu*, ADGO: analysis of differentially expressed gene sets using composite GO annotation, Bioinformatics, 22, 2249-2253 (2006).
    4. Dougu Nam*, Sung Ho Yoon, Jihyun F. Kim*, Ensemble learning of genetic networks from time-series expression data, Bioinformatics, 23, 3225-3231 (2007).
    5. Dougu Nam, Seon-Young Kim*, Gene-set approach for expression pattern analysis, Briefings in Bioinformatics, 9 (3), 189-197 (2008).
    6. Eun-Youn Kim, Seon-Young Kim, Daniel Ashlock, Dougu Nam*, MULTI-K: Accurate classification of microarray subtypes using ensemble k-means clustering, BMC Bioinformatics, 10, 260-271 (2009).
    7. Dougu Nam, Seon-Young Kim, Gene set and pathway-based analysis for cancer omics, Cancer Systems Biology, edited by Edwin Wang, Chapman &             Hall/CRC Mathematical and Computational Biology Series (Book chapter) (2010).
    8. Dougu Nam+, Jin Kim+, Seon-Young Kim and Sangsoo Kim*, GSA-SNP: a general approach for gene set analysis of polymorphisms, Nucleic Acids Research, 2010 web server issue, W749-W754 (2010).
    9.  Dougu Nam*, De-correlating expression in gene-set analysis, Bioinformatics, 26 ECCB 2010 issue, i511i516 (2010).
    10. Sang-Mun Chi, Jin Kim, Seon-Young Kim* and Dougu Nam*, ADGO 2.0: Interpreting microarray data and list of genes using composite annotations,  Nucleic Acids Research, 2011 web server issue W302-W306 (2011).
    11. Sang-Mun Chi*, Dougu Nam*, WegoLoc: accurate prediction of protein subcellular localization using weighted Gene Ontology terms, Bioinformatics, 28: 1028-1030 (2012).
    12. Siseon Lee, Dougu Nam, Joon Young Jung, Min-Kyu Oh, Byoung-In Sang*, and Robert J. Mitchell*, Identification of Escherichia coli biomarkers     responsive to various lignin-hydrolysate compounds, Bioresource Technology, 114: 450-456 (2012).
    13. Ji-sun Kwon, Jihye Kim, Dougu Nam, and Sangsoo Kim*, Performance Comparison of Two Gene Set Analysis Methods for Genome-wide Association Study Results: GSA-SNP vs i-GSEA4GWAS, Genomics and Informatics, 10: 123-127 (2012).
    14.  Vinuselvi Parisutham, Sang-Kyu Jung, Dougu Nam, and Sung KuK Lee*, Transcriptome-driven synthetic re-modeling of Escherichia coli to enhance cellobiose utilization, Chemical Engineering Science, 103: 50-57 (2013).


    15.  Mohammed Dwidar, Dougu Nam*, Robert J. Mitchell*, Indole negatively impacts predation by Bdellovibrio bacteriovorus and its release from the bdelloplast, Environmental Microbiology, published online: 28 APR (2014).
    16. Sang-Mun Chi, Young-Kyo Seo, Young-Kyu Park, Sora Yoon, Chan Young Park, Yong Sung Kim, Seon-Young Kim*, Dougu Nam*, REGNET: Mining context-specific human transcription networks using composite genomic information, BMC Genomics, accepted (2014).




 
Probability & Stochastic Processes
    1.     Hyung Geun Kim and Dougu Nam*, Optimal estimation of diffusion processes hidden by general obstacles, Journal of applied probability, 38, 1067-1073     (2001)
    2.     Changsun Choi and Dougu Nam*, Some boundary crossing results for linear diffusion processes, Statistics and probability letters, 62, 281-291 (2003)
    3.     Changsun Choi and Dougu Nam*, Interpolation for partly hidden diffusion processes, Stochastic processes and their applications, 113, 199-216 (2004)
    4.     Dougu Nam*, On exact convergence rate of strong numerical schemes for stochastic differential equations, Bull. Korean Mathematical Society , 44. 125-130     (2007)
 
하위 페이지 (1): Professor